ombharatiya/property-advisor

AI-powered property matching platform | Advanced algorithms match buyers with ideal real estate based on location, budget & preferences | Django + Linear Proportion Algorithm | Enterprise-scale

27
/ 100
Experimental

This project helps real estate agents efficiently match property listings with buyer requirements. You input details about available properties (like location, price, and number of rooms) and what buyers are looking for. The system then automatically calculates a match percentage, indicating how well each property fits a buyer's needs, making it easier for real estate professionals to identify suitable options for their clients.

Use this if you are a real estate agent or part of a property management platform needing to quickly and accurately connect a large volume of property listings with diverse buyer preferences.

Not ideal if you're an individual buyer or seller looking for a personal property search tool, as this is designed for high-volume, professional real estate operations.

real-estate-matching property-listings buyer-requirements agent-workflow client-matching
No License No Package No Dependents
Maintenance 6 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 9 / 25

How are scores calculated?

Stars

7

Forks

1

Language

Python

License

Last pushed

Nov 09, 2025

Commits (30d)

0

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